Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

no code implementations • 15 Mar 2022 • Xiang Chen, Zhentao Fan, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li

Then these negative adversaries are trained end-to-end together with the backbone representation network to enhance the discriminative information and promote factor disentanglement performance by maximizing the adversarial contrastive loss.

Contrastive Learning Disentanglement +3

Unpaired Deep Image Deraining Using Dual Contrastive Learning

no code implementations • CVPR 2022 • Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan

Learning single image deraining (SID) networks from an unpaired set of clean and rainy images is practical and valuable as acquiring paired real-world data is almost infeasible.

Contrastive Learning Image Restoration +1